super-gradients
gpt-llm-trainer | super-gradients | |
---|---|---|
4 | 8 | |
3,825 | 4,366 | |
- | 2.1% | |
5.4 | 9.5 | |
about 2 months ago | about 23 hours ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
gpt-llm-trainer
- FLaNK Stack Weekly 06 Nov 2023
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Show HN: Fine-tune your own Llama 2 to replace GPT-3.5/4
Very nice, thanks!
Check out what Matt Shumer put together as well: https://github.com/mshumer/gpt-llm-trainer.
I have used his trainer for auto distillation of GPT-4 into GPT3.5 fine tunes, but plan to do the same for Llama as well.
Cheers!
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[D] Anyone tried gpt-llm-trainer?
Hey guys, so I stumbled upon this Linkedin post, this guy was showing a jupyter notebook on google colab and was explaining step by step how to train your own model to accomplish very specific tasks, and I believe the base model he was using Llama 2 7B Fine tuning version. This is the github link: https://github.com/mshumer/gpt-llm-trainer
- GPT-LLM-Trainer
super-gradients
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Zero-Shot Prediction Plugin for FiftyOne
Most computer vision models are trained to predict on a preset list of label classes. In object detection, for instance, many of the most popular models like YOLOv8 and YOLO-NAS are pretrained with the classes from the MS COCO dataset. If you download the weights checkpoints for these models and run prediction on your dataset, you will generate object detection bounding boxes for the 80 COCO classes.
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Open Source Advent Fun Wraps Up!
23. SuperGradients | Github | tutorial
- FLaNK Stack Weekly 06 Nov 2023
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Autodistill: A new way to create CV models
And the target models include: * YOLOv8 (You Only Look Once) * YOLO-NAS * YOLOv5 * and DETR
- FLaNK Stack for 15 May 2023
- GitHub - Deci-AI/super-gradients: Easily train or fine-tune SOTA co...GitHub - Deci-AI/super-gradients: Easily train or fine-tune SOTA co...
- Meet YOLO-NAS: An Open-Sourced YOLO-based Architecture Redefining State-of-the-Art in Object Detection
- FLiPN-FLaNK Stack Weekly May 8 2023
What are some alternatives?
axolotl - Go ahead and axolotl questions
ultralytics - NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
OpenPipe - Turn expensive prompts into cheap fine-tuned models
SegGradCAM - SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping
Llama-2-Onnx
highstorm - Open Source Event Monitoring
trieve - All-in-one infrastructure for building search, recommendations, and RAG. Trieve combines search language models with tools for tuning ranking and relevance.
openvino_notebooks - 📚 Jupyter notebook tutorials for OpenVINO™
open_model_zoo - Pre-trained Deep Learning models and demos (high quality and extremely fast)
pyvideotrans - Translate the video from one language to another and add dubbing. 将视频从一种语言翻译为另一种语言,并添加配音
vllm - A high-throughput and memory-efficient inference and serving engine for LLMs
Detic - Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".